Evidence map›Paper›PMID 39936429›Full record

ArticleEndocrine, metabolic & immune disorders drug targets2026

Relative Fat Mass Associated with Hyperuricemia in Adults: A Cross-Sectional Study.

Tian Gu, Zhaoxiang Wang, Qichao Yang, Mengjiao Xu, Xuejing Shao, Bingshuang Xue

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Article in Endocrine, metabolic & immune disorders drug targets, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Relative Fat Mass and Psoriasis Risk: Evidence from NHANES 2009-2014.Journal of multidisciplinary healthcare · 2025
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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Tian GuAffiliated Wujin Hospital of Jiangsu University; Wujin Clinical College of Xuzhou Medical University; Changzhou Wujin People's Hospital; Affiliated Hospital of Jiangsu University, China.
Zhaoxiang WangAffiliated Kunshan Hospital of Jiangsu University; First People's Hospital of Kunshan; Affiliated Hospital of Jiangsu University, China.
Qichao YangAffiliated Wujin Hospital of Jiangsu University; Wujin Clinical College of Xuzhou Medical University; Changzhou Wujin People's Hospital; Affiliated Hospital of Jiangsu University, China.
Mengjiao XuAffiliated Wujin Hospital of Jiangsu University; Wujin Clinical College of Xuzhou Medical University; Changzhou Wujin People's Hospital; Affiliated Hospital of Jiangsu University, China.
Xuejing ShaoAffiliated Wujin Hospital of Jiangsu University; Wujin Clinical College of Xuzhou Medical University; Changzhou Wujin People's Hospital; Affiliated Hospital of Jiangsu University, China.
Bingshuang XueAffiliated Wujin Hospital of Jiangsu University; Wujin Clinical College of Xuzhou Medical University; Changzhou Wujin People's Hospital; Affiliated Hospital of Jiangsu University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThere is a close relationship between obesity and hyperuricemia. Relative Fat Mass (RFM) is considered a new indicator for evaluating obesity. We aim to explore the relationship between RFM and the risk of hyperuricemia in adults.

methodsThis cross-sectional study included adult participants from the 2007-2018 National Health and Nutrition Examination Survey (NHANES). The RFM was calculated as: RFM =64 - (20 × height/waist circumference) + (12 × sex), where sex is defined as 0 for men and 1 for women. Hyperuricemia was confirmed by using serum uric acid (SUA) levels ≥ 7 mg/dL in men and ≥ 6 mg/dL in women. The relationship between RFM and the risk of hyperuricemia was thoroughly investigated.

resultsA total of 29369 participants were enrolled in this study. The RFM levels in the hyperuricemia group were higher than those in the non-hyperuricemia group (P < 0.01). Logistic and linear regression indicated that RFM levels were positively associated with the risk of hyperuricemia (OR=1.08, 95% CI: 1.05-1.11, P < 0.001) and SUA levels (β=0.04, 95% CI: 0.03-0.05, P < 0.001). The relationship remained consistent across subgroups. Smooth curve fitting showed a nonlinear relationship, with an inflection point at 34.22. Above this threshold, the link between RFM levels and hyperuricemia was found to be more remarkable.

conclusionHigher RFM is associated with an increased risk of hyperuricemia. RFM could act as a cost-efficient and straightforward measure for hyperuricemia risk assessment.

Indexed as

Adipose TissueAdiposityHyperuricemiaObesityUric AcidAdultAgedBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsWaist CircumferenceUric Acidcross-sectional studyhyperuricemiaNHANESnonlinear relationship.Obesityrelative fat mass

Identifiers

PMID39936429
PMCPMC13358773

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.